Reconsider not allowing shape/ellipsis in dist classmethods

[ricardoV94]

When working in #5690, I realized we have a bug when doing the following:

import pymc as pm
x = pm.GaussianRandomWalk.dist(init=pm.Normal.dist(), steps=5, shape=(3, ...))
print(x.shape.eval())  # [3, 3, 6]; should be [3, 6]
print(x.eval())  # ValueError

This happens because we have to resize init to be of the same size of x, as the GaussianRandomWalk (GRW) is a composite distribution of init + innovations. We do this in dist, and I simply did not consider that shape could have an ellipsis.

In general, this sort of issue will be prevalent in most "composite" distributions, such as LKJCorr, Censored, Mixture, and so on, where we need to resize some of the the dist arguments to match size, shape, dims or else ask users to to it themselves. We can make things quite simpler for us if we don't allow the ellipsis or shape argument into the dist classmethod, as we will only have to worry about size in that case.

[ricardoV94]

Actually, should be fine if we just act as if shape does not exist if we need to interact with size...

[ricardoV94]

Actually that's not good, because super().dist() does not recall dist (it cannot). Maybe such resizing should be done in the rv_op